Python

Why we included this project

This repo works well as a free, self-paced course for anyone who wants to learn Python and get their first taste of data science at the same time. It is organized like a curriculum, not a grab bag: the notebooks start with Python fundamentals, work through object-oriented programming and error handling, then move on to data analysis and machine learning algorithms. Since the examples run in Jupyter notebooks and Google Colab, you can try each one interactively as you go, which makes a big difference when you are learning alone. The material covers practical tools like NumPy and pandas, so it connects basic language skills to the kind of work you would actually do with data. Treat it as study material to follow and modify rather than a library to import into your own application.